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Criticality Aware Smart Spaces T. Mukherjee Impact Lab (http://impact.asu.edu) Department of Computer Science & Engineering Ira A. Fulton School of Engineering.

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Presentation on theme: "Criticality Aware Smart Spaces T. Mukherjee Impact Lab (http://impact.asu.edu) Department of Computer Science & Engineering Ira A. Fulton School of Engineering."— Presentation transcript:

1 Criticality Aware Smart Spaces T. Mukherjee Impact Lab (http://impact.asu.edu) Department of Computer Science & Engineering Ira A. Fulton School of Engineering Arizona State University Tempe, Arizona, USA Supported in part by Mediserve Inc and US National Science Foundation

2 Overview Motivation Critical Events, Criticality Challenges Conclusions and Future Work

3 Motivation Smart spaces – e.g. homes, hospitals – allow inhabitants to physically interact with information-rich virtual entities. Critical events in smart spaces e.g.  attacks (similar to 9/11) to buildings  break-in in the house  tornado warning Smart space should facilitate proper handling of complexities/chaos caused by a critical events. Challenges include:  Detection  Planning/Scheduling  Manageability  Adaptability  ….

4 Criticality management in smart spaces Interaction between Virtual, Physical and Human Distributed Uncertainty Rapidly Changing

5 Characteristics of Critical Events Requires exceptional set of actions for controlling the emergency – avoiding catastrophic failure. Request based reactive context evaluation is inadequate. Proactive context monitoring is required. We define the term ‘Criticality’ as  the consequences on the system due to critical events Normal actions Critical event Exceptional actions

6 Temporal Requirement for Criticality Every critical event has a Window of opportunity (W o ) to respond. Value of W o is criticality dependent. WoWo Critical Event Mitigation Time Normal actions Mitigative actions

7 Examples of Criticality and W o Heart attack - 1st one hour critical (golden hour). Tornado – evacuation within 5 minutes of first warning. * Data-center - 90 seconds after cooling failure. Disaster Recovery – 30 days time. ** *http://www.fema.gov/pdf/rrr/ndis_rev_oct27.pdf**http://www.fema.gov/pdf/library/fema_apa_ch4.pdf

8 Some Fundamental Research Issues How to effectively model the manageability of the emergencies?  How to estimate timing constraints for the criticalities?  How to include resource constraint in criticality management?  How to incorporate the stochastic nature of the system due to human involvement into the manageability?  How to adapt the system parameters based on the outcome of the criticality management process? How to plan, prepare for and facilitate mitigation of emergencies?  Understand interactions between physical and virtual entities.  Uses real time AI planning and scheduling for mitigation.  How to effectively detect critical events in a timely manner? How to evaluate (simulate/emulate) system performance?  How to determine the testbed?  How to implement the management process?  How to identify specific scenarios to validate the model?

9 Criticality Aware Smart Space (CASS) – system view

10 Conclusions & Future Work Criticality awareness is necessary for effectiveness of smart spaces. Future Works  Theoretical modeling of system behavior when critical events occur.  Design and develop effective management algorithm.  Validation


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